return defaultSettings;
    }

    private List<Tuple<String, Object>> defaultArraySettings() {
        final List<Tuple<String, Object>> tuples = new ArrayList<>();
        tuples.add(new Tuple<>(DefaultKeys.SUPPORTED_FIELDS, "content"));
        return tuples;
    }

    /**
     * Loads the index settings from a resource file.

Did you notice? a string using `value.startswith()` can take a tuple, and it will check each value in the tuple:

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### A Random Item { #a-random-item }

With `data.items()` we get an <dfn title="Something we can iterate on with a for loop, like a list, set, etc.">iterable object</dfn> with tuples containing the key and value for each dictionary item.

     */
    protected final List<ThumbnailGenerator> generatorList = new ArrayList<>();

    /**
     * Queue for thumbnail generation tasks containing URL, content, and path tuples.
     */
    protected BlockingQueue<Tuple3<String, String, String>> thumbnailTaskQueue;

    /**
     * Flag indicating whether thumbnail generation is currently in progress.
     */
    protected volatile boolean generating;

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### Un élément aléatoire { #a-random-item }

"method","promise","fail","then","Callbacks","object","_","flag","firing","memory","fired","locked","list","queue","firingIndex","fire","once","stopOnFalse","remove","disable","lock","fireWith","Deferred","func","tuples","state","always","deferred","catch","pipe","fns","newDefer","tuple","returned","progress","notify","onFulfilled","onRejected","onProgress","maxDepth","depth","handler","special","that","mightThrow","TypeError","notifyWith","resolveWith","process","exceptionHook","rejectWith","ge...

"method","promise","fail","then","Callbacks","object","_","flag","firing","memory","fired","locked","list","queue","firingIndex","fire","once","stopOnFalse","remove","disable","lock","fireWith","Deferred","func","tuples","state","always","deferred","catch","pipe","fns","newDefer","tuple","returned","progress","notify","onFulfilled","onRejected","onProgress","maxDepth","depth","handler","special","that","mightThrow","TypeError","notifyWith","resolveWith","process","exceptionHook","rejectWith","ge...

    * `tf.types.experimental.TraceType` now allows custom tf.function inputs to declare Tensor decomposition and type casting support.

     * @param value4
     *            The fourth value
     * @return A tuple of four values
     */
    public static <T1, T2, T3, T4> Tuple4<T1, T2, T3, T4> tuple4(final T1 value1, final T2 value2, final T3 value3, final T4 value4) {
        return new Tuple4<>(value1, value2, value3, value4);
    }

    /**
     * Constructs an instance.
     */
    public Tuple4() {
    }

    /**
     * Constructs an instance.
     *

     *            The fifth value
     * @return A tuple of five values
     */
    public static <T1, T2, T3, T4, T5> Tuple5<T1, T2, T3, T4, T5> tuple5(final T1 value1, final T2 value2, final T3 value3, final T4 value4,
            final T5 value5) {
        return new Tuple5<>(value1, value2, value3, value4, value5);
    }

    /**
     * Constructs an instance.
     */
    public Tuple5() {
    }

    /**

     * @param value3
     *            The third value
     * @return A tuple of three values
     */
    public static <T1, T2, T3> Tuple3<T1, T2, T3> tuple3(final T1 value1, final T2 value2, final T3 value3) {
        return new Tuple3<>(value1, value2, value3);
    }

    /**
     * Constructs an instance.
     */
    public Tuple3() {
    }

    /**
     * Constructs an instance.
     *